IDEAS home Printed from https://ideas.repec.org/a/spr/pharme/v34y2016i10d10.1007_s40273-016-0402-3.html
   My bibliography  Save this article

The Effects of Diagnostic Definitions in Claims Data on Healthcare Cost Estimates: Evidence from a Large-Scale Panel Data Analysis of Diabetes Care in Japan

Author

Listed:
  • Haruhisa Fukuda

    (Kyushu University Graduate School of Medical Sciences)

  • Shunya Ikeda

    (International University of Health and Welfare)

  • Takeru Shiroiwa

    (National Institute of Public Health)

  • Takashi Fukuda

    (National Institute of Public Health)

Abstract

Background Inaccurate estimates of diabetes-related healthcare costs can undermine the efficiency of resource allocation for diabetes care. The quantification of these costs using claims data may be affected by the method for defining diagnoses. Objectives The aims were to use panel data analysis to estimate diabetes-related healthcare costs and to comparatively evaluate the effects of diagnostic definitions on cost estimates. Research design Monthly panel data analysis of Japanese claims data. Subjects The study included a maximum of 141,673 patients with type 2 diabetes who received treatment between 2005 and 2013. Measures Additional healthcare costs associated with diabetes and diabetes-related complications were estimated for various diagnostic definition methods using fixed-effects panel data regression models. Results The average follow-up period per patient ranged from 49.4 to 52.3 months. The number of patients identified as having type 2 diabetes varied widely among the diagnostic definition methods, ranging from 14,743 patients to 141,673 patients. The fixed-effects models showed that the additional costs per patient per month associated with diabetes ranged from US$180 [95 % confidence interval (CI) 178–181] to US$223 (95 % CI 221–224). When the diagnostic definition excluded rule-out diagnoses, the diabetes-related complications associated with higher additional healthcare costs were ischemic heart disease with surgery (US$13,595; 95 % CI 13,568–13,622), neuropathy/extremity disease with surgery (US$4594; 95 % CI 3979–5208), and diabetic nephropathy with dialysis (US$3689; 95 % CI 3667–3711). Conclusions Diabetes-related healthcare costs are sensitive to diagnostic definition methods. Determining appropriate diagnostic definitions can further advance healthcare cost research for diabetes and its applications in healthcare policies.

Suggested Citation

  • Haruhisa Fukuda & Shunya Ikeda & Takeru Shiroiwa & Takashi Fukuda, 2016. "The Effects of Diagnostic Definitions in Claims Data on Healthcare Cost Estimates: Evidence from a Large-Scale Panel Data Analysis of Diabetes Care in Japan," PharmacoEconomics, Springer, vol. 34(10), pages 1005-1014, October.
    • Handle: RePEc:spr:pharme:v:34:y:2016:i:10:d:10.1007_s40273-016-0402-3
    DOI: 10.1007/s40273-016-0402-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40273-016-0402-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40273-016-0402-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ulf-G Gerdtham & Philip Clarke & Alison Hayes & Soffia Gudbjornsdottir, 2009. "Estimating the Cost of Diabetes Mellitus-Related Events from Inpatient Admissions in Sweden Using Administrative Hospitalization Data," PharmacoEconomics, Springer, vol. 27(1), pages 81-90, January.
    2. Till Seuring & Olga Archangelidi & Marc Suhrcke, 2015. "The Economic Costs of Type 2 Diabetes: A Global Systematic Review," PharmacoEconomics, Springer, vol. 33(8), pages 811-831, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tom Lung & Philip Clarke & Alison Hayes & Richard Stevens & Andrew Farmer, 2013. "Simulating Lifetime Outcomes Associated with Complications for People with Type 1 Diabetes," PharmacoEconomics, Springer, vol. 31(6), pages 509-518, June.
    2. Gourzoulidis, George & Kourlaba, Georgia & Stafylas, Panagiotis & Giamouzis, Gregory & Parissis, John & Maniadakis, Nikolaos, 2017. "Association between copayment, medication adherence and outcomes in the management of patients with diabetes and heart failure," Health Policy, Elsevier, vol. 121(4), pages 363-377.
    3. Seuring, Till & Serneels, Pieter & Suhrcke, Marc, 2019. "The impact of diabetes on labour market outcomes in Mexico: A panel data and biomarker analysis," Social Science & Medicine, Elsevier, vol. 233(C), pages 252-261.
    4. Ling Jie Cheng & Wenru Wang & Suan Tee Lim & Vivien Xi Wu, 2019. "Factors associated with glycaemic control in patients with diabetes mellitus: A systematic literature review," Journal of Clinical Nursing, John Wiley & Sons, vol. 28(9-10), pages 1433-1450, May.
    5. Gabriela Maria Reis Goncalves & Everton Nunes da Silva, 2018. "Cost of chronic kidney disease attributable to diabetes from the perspective of the Brazilian Unified Health System," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
    6. Clémence Bussière & Nicolas Sirven & Thomas Rapp & Christine Sevilla‐dedieu, 2020. "Adherence to medical follow‐up recommendations reduces hospital admissions: Evidence from diabetic patients in France," Post-Print hal-03431397, HAL.
    7. Dixon, Padraig & Harrison, Sean & Hollingworth, William & Davies, Neil M. & Davey Smith, George, 2022. "Estimating the causal effect of liability to disease on healthcare costs using Mendelian Randomization," Economics & Human Biology, Elsevier, vol. 46(C).
    8. Claudiu Morgovan & Smaranda Adina Cosma & Madalina Valeanu & Anca Maria Juncan & Luca Liviu Rus & Felicia Gabriela Gligor & Anca Butuca & Delia Mirela Tit & Simona Bungau & Steliana Ghibu, 2020. "An Exploratory Research of 18 Years on the Economic Burden of Diabetes for the Romanian National Health Insurance System," IJERPH, MDPI, vol. 17(12), pages 1-16, June.
    9. Grégoire Lagasnerie & Anne-Sophie Aguadé & Pierre Denis & Anne Fagot-Campagna & Christelle Gastaldi-Menager, 2018. "The economic burden of diabetes to French national health insurance: a new cost-of-illness method based on a combined medicalized and incremental approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(2), pages 189-201, March.
    10. Stuart Keel & Joshua Foreman & Jing Xie & Peter van Wijngaarden & Hugh R Taylor & Mohamed Dirani, 2017. "The Prevalence of Self-Reported Diabetes in the Australian National Eye Health Survey," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-10, January.
    11. Karen Jordan & Christopher G. Fawsitt & Paul G. Carty & Barbara Clyne & Conor Teljeur & Patricia Harrington & Mairin Ryan, 2023. "Cost-effectiveness of metabolic surgery for the treatment of type 2 diabetes and obesity: a systematic review of economic evaluations," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(4), pages 575-590, June.
    12. Sun, Fei & Zhang, Qi, 2023. "Robust transfer learning of high-dimensional generalized linear model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    13. Isabelle Chort & Olivier Dagnelie, 2022. "Worms or sugar? Mass deworming treatment doubles the probability to suffer from diabetes ten to fifteen years later," Working Papers hal-03887621, HAL.
    14. Seuring, Till & Serneels, Pieter & Suhrcke, Marc & Bachmann, Max, 2020. "Diabetes, employment and behavioural risk factors in China: Marginal structural models versus fixed effects models," Economics & Human Biology, Elsevier, vol. 39(C).
    15. Désirée Vandenberghe, 2022. "Simulating lifestyle and medical interventions to prevent type-2 diabetes: an economic evaluation for Belgium," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 237-248, March.
    16. Silvia Nanjala Walekhwa Hertzberg & Øystein K. Jørstad & Beáta Éva Petrovski & Ragnheidur Bragadottir & Leif Arthur Steffensen & Morten Carstens Moe & Emily A. Burger & Goran Petrovski, 2022. "Transition from Laser to Intravitreal Injections for Diabetic Retinopathy: Hospital Utilization and Costs from an Extended Healthcare Perspective," IJERPH, MDPI, vol. 19(19), pages 1-16, October.
    17. Yuji Sase & Daiki Kumagai & Teppei Suzuki & Hiroko Yamashina & Yuji Tani & Kensuke Fujiwara & Takumi Tanikawa & Hisashi Enomoto & Takeshi Aoyama & Wataru Nagai & Katsuhiko Ogasawara, 2020. "Characteristics of Type-2 Diabetics Who are Prone to High-Cost Medical Care Expenses by Bayesian Network," IJERPH, MDPI, vol. 17(15), pages 1-10, July.
    18. Clara Bermudez-Tamayo & Stéphane Besançon & Mira Johri & Sidibe Assa & Jonathan Betz Brown & Kaushik Ramaiya, 2017. "Direct and indirect costs of diabetes mellitus in Mali: A case-control study," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
    19. Elina Jussila & Kaisa Kotakorpi & Jouko Verho, 2022. "Prescription Behavior of Physicians in the Public and Private Sector," CESifo Working Paper Series 10186, CESifo.
    20. David Cuesta-Frau & Daniel Novák & Vacláv Burda & Daniel Abasolo & Tricia Adjei & Manuel Varela & Borja Vargas & Milos Mraz & Petra Kavalkova & Marek Benes & Martin Haluzik, 2019. "Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods," Complexity, Hindawi, vol. 2019, pages 1-10, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:pharme:v:34:y:2016:i:10:d:10.1007_s40273-016-0402-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.